An Immunoinformatics Prediction of Novel Multi-Epitope Vaccines Candidate Against Surface Antigens of Nipah Virus

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Authors: Md. Mahfuzur Rahman, Joynob Akter Puspo, Ahmed Ahsan Adib, Mohammad Enayet Hossain, Mohammad Mamun Alam, Sharmin Sultana, Ariful Islam, John D. Klena, Joel M. Montgomery, Syed M. Satter, Tahmina Shirin, Mohammed Ziaur Rahman

Year: 2024

Journal: International Journal of Peptide Research and Therapeutics

DOI: 10.1007/s10989-022-10431-z

Summary

This paper aims to predict a dual-antigen multi-epitope subunit chimeric vaccine against surface-glycoproteins G and F of Nipah Virus using immunoinformatics analyses.

Key Findings

  • 40 T and B-cell epitopes were found to be conserved, antigenic, non-toxic, non-allergenic, and human non-homologous
  • Two vaccine candidates (NiV_BGD_V1 and NiV_BGD_V2) were strongly immunogenic, non-allergenic, and structurally stable
  • The proposed vaccine candidates showed a negative Z-score and high percentage of most rama-favored regions
  • Molecular docking confirmed the highest affinity of NiV_BGD_V1 and NiV_BGD_V2 with TLR-4 and TLR8
  • The vaccine constructs demonstrated increased levels of immunoglobulins and cytokines in humans and could be expressed properly using an adenoviral-based pAdTrack-CMV expression vector

Methodology

  • Study Type: In silico prediction
  • Geographic Focus: Bangladesh and Southeast Asia

Topics

Immunoinformatics, Vaccine Development, Nipah Virus

Relevance

The paper presents a potential approach for developing a vaccine against Nipah Virus, which could have significant implications for public health in regions where the virus is endemic.

Source

View the entire paper: File:10989 2022 Article 10431.pdf